Machine learning with R: Learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications
Contents: Introducing machine learning -- Managing and understanding data -- Lazy learning : classification using nearest neighbors -- Probabilistic learning : classification using naive Bayes -- Divide and conquer : classification using decision trees and rules -- Forecasting numeric data : regress...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham, UK [u.a.]
Packt Publ.
2015
|
| Ausgabe: | 2. edition |
| Schriftenreihe: | Community experience distilled
Packt open source |
| Schlagworte: | |
| Zusammenfassung: | Contents: Introducing machine learning -- Managing and understanding data -- Lazy learning : classification using nearest neighbors -- Probabilistic learning : classification using naive Bayes -- Divide and conquer : classification using decision trees and rules -- Forecasting numeric data : regression methods -- Black box methods : neural networks and support vector machines -- Finding patterns : market basket analysis using association rules -- Finding groups of data : clustering with k-means -- Evaluating model performance -- Improving model performance -- Specialized machine learning topics. |
| Beschreibung: | 1 Online-Ressource |
| ISBN: | 9781784394523 |
Internformat
MARC
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| 245 | 1 | 0 | |a Machine learning with R |b Learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications |c Brett Lantz |
| 250 | |a 2. edition | ||
| 264 | 1 | |a Birmingham, UK [u.a.] |b Packt Publ. |c 2015 | |
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| 520 | |a Contents: Introducing machine learning -- Managing and understanding data -- Lazy learning : classification using nearest neighbors -- Probabilistic learning : classification using naive Bayes -- Divide and conquer : classification using decision trees and rules -- Forecasting numeric data : regression methods -- Black box methods : neural networks and support vector machines -- Finding patterns : market basket analysis using association rules -- Finding groups of data : clustering with k-means -- Evaluating model performance -- Improving model performance -- Specialized machine learning topics. | ||
| 650 | 4 | |a R (Computer program language) / Handbooks, manuals, etc | |
| 650 | 4 | |a Machine learning / Statistical methods / Handbooks, manuals, etc | |
| 650 | 4 | |a Machine learning / Statistical methods | |
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Datensatz im Suchindex
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| any_adam_object | |
| author | Lantz, Brett |
| author_GND | (DE-588)1060647117 |
| author_facet | Lantz, Brett |
| author_role | aut |
| author_sort | Lantz, Brett |
| author_variant | b l bl |
| building | Verbundindex |
| bvnumber | BV042763386 |
| classification_rvk | ST 250 ST 300 |
| collection | ZDB-89-EBL |
| ctrlnum | (OCoLC)920385586 (DE-599)BVBBV042763386 |
| dewey-full | 006.3 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3 |
| dewey-search | 006.3 |
| dewey-sort | 16.3 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| edition | 2. edition |
| format | Electronic eBook |
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| id | DE-604.BV042763386 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:09:04Z |
| institution | BVB |
| isbn | 9781784394523 |
| language | English |
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| physical | 1 Online-Ressource |
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| publishDate | 2015 |
| publishDateSearch | 2015 |
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| publisher | Packt Publ. |
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| series2 | Community experience distilled Packt open source |
| spelling | Lantz, Brett Verfasser (DE-588)1060647117 aut Machine learning with R Learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications Brett Lantz 2. edition Birmingham, UK [u.a.] Packt Publ. 2015 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Community experience distilled Packt open source Contents: Introducing machine learning -- Managing and understanding data -- Lazy learning : classification using nearest neighbors -- Probabilistic learning : classification using naive Bayes -- Divide and conquer : classification using decision trees and rules -- Forecasting numeric data : regression methods -- Black box methods : neural networks and support vector machines -- Finding patterns : market basket analysis using association rules -- Finding groups of data : clustering with k-means -- Evaluating model performance -- Improving model performance -- Specialized machine learning topics. R (Computer program language) / Handbooks, manuals, etc Machine learning / Statistical methods / Handbooks, manuals, etc Machine learning / Statistical methods R (Computer program language) Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf Datenaustausch (DE-588)4227289-0 gnd rswk-swf R Programm (DE-588)4705956-4 gnd rswk-swf R Programm (DE-588)4705956-4 s Datenaustausch (DE-588)4227289-0 s Statistik (DE-588)4056995-0 s Maschinelles Lernen (DE-588)4193754-5 s DE-604 Erscheint auch als Druck-Ausgabe 978-1-78439-390-8 (DE-604)BV043426389 |
| spellingShingle | Lantz, Brett Machine learning with R Learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications R (Computer program language) / Handbooks, manuals, etc Machine learning / Statistical methods / Handbooks, manuals, etc Machine learning / Statistical methods R (Computer program language) Maschinelles Lernen (DE-588)4193754-5 gnd Statistik (DE-588)4056995-0 gnd Datenaustausch (DE-588)4227289-0 gnd R Programm (DE-588)4705956-4 gnd |
| subject_GND | (DE-588)4193754-5 (DE-588)4056995-0 (DE-588)4227289-0 (DE-588)4705956-4 |
| title | Machine learning with R Learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications |
| title_auth | Machine learning with R Learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications |
| title_exact_search | Machine learning with R Learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications |
| title_full | Machine learning with R Learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications Brett Lantz |
| title_fullStr | Machine learning with R Learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications Brett Lantz |
| title_full_unstemmed | Machine learning with R Learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications Brett Lantz |
| title_short | Machine learning with R |
| title_sort | machine learning with r learn how to use r to apply powerful machine learning methods and gain an insight into real world applications |
| title_sub | Learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications |
| topic | R (Computer program language) / Handbooks, manuals, etc Machine learning / Statistical methods / Handbooks, manuals, etc Machine learning / Statistical methods R (Computer program language) Maschinelles Lernen (DE-588)4193754-5 gnd Statistik (DE-588)4056995-0 gnd Datenaustausch (DE-588)4227289-0 gnd R Programm (DE-588)4705956-4 gnd |
| topic_facet | R (Computer program language) / Handbooks, manuals, etc Machine learning / Statistical methods / Handbooks, manuals, etc Machine learning / Statistical methods R (Computer program language) Maschinelles Lernen Statistik Datenaustausch R Programm |
| work_keys_str_mv | AT lantzbrett machinelearningwithrlearnhowtousertoapplypowerfulmachinelearningmethodsandgainaninsightintorealworldapplications |